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制造领域知识图谱的构建及应用

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随着制造业趋向于数字化、网络化、智能化发展,企业中大量的产品设计、生产制造、维修服务数据在不断地堆叠积累,对此引入知识图谱技术对这些数据进行管理和挖掘,可以为实现新一代智能制造提供有力支撑。文章首先针对制造领域知识图谱的构建及关键技术进行叙述,包括知识抽取、知识融合、知识推理等;然后将知识图谱在制造领域中的应用分为语义关联和决策辅助两大类,并探究其具体的应用场景,希望能为相关企业构建及应用知识图谱提供参考。
Construction and Application of Knowledge Graph in the Manufacturing Field
With the development of the manufacturing industry towards digitalization,networking and intelligence,a large amount of product design,manufacturing and maintenance service data in enterprises is constantly stacked and accumulated.The introduction of Knowledge Graph technology to manage and mine the data can provide strong support for the realization of the new-generation intelligent manufacturing.Firstly,this paper reviews the construction and core technologies of knowledge graph in manufacturing field including knowledge extraction,knowledge fusion,knowledge reasoning,and so on.Then,the application of Knowledge Graph in the field of manufacturing is divided into two categories:semantic association and decision aid,and its specific application scenarios are explored.It is hoped that it can provide reference for the construction and application of Knowledge Graph for relevant enterprises.

intelligent manufacturingKnowledge Graphknowledge extractionknowledge fusionknowledge reasoning

吴洁

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河北科技大学 经济管理学院,河北 石家庄 050018

智能制造 知识图谱 知识抽取 知识融合 知识推理

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(8)
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